AI portion detection estimates serving sizes from photos — closing the gap between weighing and guessing. Here are the apps that do it best.
Without weighing, manual portion estimation is wildly inaccurate (20–35% error). AI portion detection from photos closes the gap to 10–15% — accurate enough to make estimation viable for sustained tracking.
| Feature | Nutrola | Foodvisor | Cal AI | Lose It! | MyFitnessPal |
|---|---|---|---|---|---|
| AI portion free | ✅ Yes | ⚠️ Premium | ⚠️ Trial | ⚠️ Premium | ⚠️ Premium |
| Plated meal accuracy | 10–15% | 10–15% | 10–15% | 12–18% | 12–18% |
| Multi-component | ✅ Strong | ✅ Strong | ✅ Strong | ⚠️ Mid | ⚠️ Mid |
| Verified DB | ✅ Yes | ⚠️ Mixed | ⚠️ Mixed | ⚠️ Mixed | ⚠️ User |
Best free AI portion detection.
Why Nutrola wins:
Best for: Users tracking portions without a scale.
Strong AI; subscription. Best for: Premium users. Limitation: Subscription required.
AI-first. Best for: AI-purist users. Limitation: Subscription.
Snap It Premium. Best for: Premium users. Limitation: Free tier manual.
Nutrola free; Foodvisor paid.
10–15% with size references; 15–20% without.
Weighing for precision; AI for sustainability.
Size references, top-down angle, no stacks.